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Interannual variation of carbon exchange fluxes in terrestrial ecosystems
Author(s) -
Kindermann Jürgen,
Würth Gudrun,
Kohlmaier Gundolf H.,
Badeck FranzW.
Publication year - 1996
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/96gb02349
Subject(s) - biosphere , primary production , environmental science , ecosystem , carbon cycle , atmospheric sciences , terrestrial ecosystem , precipitation , biosphere model , atmosphere (unit) , anomaly (physics) , forcing (mathematics) , global change , climatology , latitude , carbon flux , seasonality , climate change , geology , ecology , oceanography , meteorology , geography , physics , geodesy , condensed matter physics , biology
A global prognostic physiologically based model of the carbon budget in terrestrial ecosystems, the Frankfurt Biosphere Model (FBM), is applied to simulate the interannual variation of carbon exchange fluxes between the atmosphere and the terrestrial biosphere. The data on climatic forcing are based on Cramer and Leemans climate maps; the interannual variation is introduced according to records of temperature anomalies and precipitation anomalies for the period 1980 to 1993. The calculated net exchange flux between the atmosphere and the terrestrial biosphere is compared to the biospheric signal deduced from 13 C measurements. Some intermediate results are presented as well: the contributions of the most important global ecosystems to the biospheric signal, the contributions of different latitudinal belts to the biospheric signal, and the responses of net primary production (NPP) and heterotrophic respiration ( R h ). From the simulation results it can be inferred that the complex temperature and precipitation responses of NPP and R h in different latitudes and different ecosystem types add up to a global CO 2 signal contributing substantially to the atmospheric CO 2 anomaly on the interannual timescale. The temperature response of NPP was found to be the most important factor determining this signal.